Integration of Autonomous Task Planning into Reconfigurable Skill-Based Industrial Robots

Lisa Heuss; Gunther Reinhart

doi:10.1109/ETFA46521.2020.9212005

Integration of Autonomous Task Planning into Reconfigurable Skill-Based Industrial Robots

Lisa Heuss, Gunther Reinhart

Chair of Industrial Management and Assembly Technologies

Technical University of Munich

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

The application of industrial robots can help companies to achieve competitive advantages. Therefore, industrial robots need to be able to complete a wide variety of tasks at short notice in today's highly customized and dynamic production environment. However, this is contrary to the current situation. Configuring and programming robots is a challenging and time-consuming task. In this paper, we present our approach to integrating autonomous task planning into reconfigurable skill-based industrial robots. As a result, robots will coordinate their diverse tasks autonomously, and thus take the challenging and time-consuming job of robot programming away from the user.

Original language	English
Title of host publication	Proceedings - 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1293-1296
Number of pages	4
ISBN (Electronic)	9781728189567
DOIs	https://doi.org/10.1109/ETFA46521.2020.9212005
State	Published - Sep 2020
Event	25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020 - Vienna, Austria Duration: 8 Sep 2020 → 11 Sep 2020

Publication series

Name	IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
Volume	2020-September
ISSN (Print)	1946-0740
ISSN (Electronic)	1946-0759

Conference

Conference	25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020
Country/Territory	Austria
City	Vienna
Period	8/09/20 → 11/09/20

Keywords

artificial intelligence
autonomous robot
production
reconfigurability
skills
task planning

Access to Document

10.1109/ETFA46521.2020.9212005

Cite this

Heuss, L., & Reinhart, G. (2020). Integration of Autonomous Task Planning into Reconfigurable Skill-Based Industrial Robots. In Proceedings - 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020 (pp. 1293-1296). Article 9212005 (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA; Vol. 2020-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ETFA46521.2020.9212005

Heuss, Lisa ; Reinhart, Gunther. / Integration of Autonomous Task Planning into Reconfigurable Skill-Based Industrial Robots. Proceedings - 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 1293-1296 (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA).

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abstract = "The application of industrial robots can help companies to achieve competitive advantages. Therefore, industrial robots need to be able to complete a wide variety of tasks at short notice in today's highly customized and dynamic production environment. However, this is contrary to the current situation. Configuring and programming robots is a challenging and time-consuming task. In this paper, we present our approach to integrating autonomous task planning into reconfigurable skill-based industrial robots. As a result, robots will coordinate their diverse tasks autonomously, and thus take the challenging and time-consuming job of robot programming away from the user.",

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author = "Lisa Heuss and Gunther Reinhart",

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series = "IEEE International Conference on Emerging Technologies and Factory Automation, ETFA",

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Heuss, L & Reinhart, G 2020, Integration of Autonomous Task Planning into Reconfigurable Skill-Based Industrial Robots. in Proceedings - 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020., 9212005, IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, vol. 2020-September, Institute of Electrical and Electronics Engineers Inc., pp. 1293-1296, 25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020, Vienna, Austria, 8/09/20. https://doi.org/10.1109/ETFA46521.2020.9212005

Integration of Autonomous Task Planning into Reconfigurable Skill-Based Industrial Robots. / Heuss, Lisa; Reinhart, Gunther.
Proceedings - 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 1293-1296 9212005 (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA; Vol. 2020-September).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - The application of industrial robots can help companies to achieve competitive advantages. Therefore, industrial robots need to be able to complete a wide variety of tasks at short notice in today's highly customized and dynamic production environment. However, this is contrary to the current situation. Configuring and programming robots is a challenging and time-consuming task. In this paper, we present our approach to integrating autonomous task planning into reconfigurable skill-based industrial robots. As a result, robots will coordinate their diverse tasks autonomously, and thus take the challenging and time-consuming job of robot programming away from the user.

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KW - autonomous robot

KW - production

KW - reconfigurability

KW - skills

KW - task planning

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Heuss L, Reinhart G. Integration of Autonomous Task Planning into Reconfigurable Skill-Based Industrial Robots. In Proceedings - 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 1293-1296. 9212005. (IEEE International Conference on Emerging Technologies and Factory Automation, ETFA). doi: 10.1109/ETFA46521.2020.9212005

Integration of Autonomous Task Planning into Reconfigurable Skill-Based Industrial Robots

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